Data Warehousing Certification Training is an ultimate benchmark for modern and savvy business managers, data analysts, and architects to demonstrate their expertise in data warehousing. You can learn all the concepts of metadata, schema, facts, data transformation, and normalisation. The course will empower you with the right skills to perform data visualisation to establish data warehouses by using efficient tools.
The Data Warehousing Certification Training by Study365 aims to assist and create business intelligence professionals who have an advanced understanding of data warehousing to make the best decisions. The certification provider’s in-depth training related to running a profitable business. You will learn a range of skills, including data design and manipulation, in one package. Moreover, you can master visual analytics and make informed decisions for your organisations.
The Data Warehousing Certification is a win-win choice for both employees and business owners. The course will set you in the proper direction and open new career avenues in data warehousing and management. Gear up for the success waiting out there; learn these data warehousing skills today!
Why You Should Take This Training at Study365?
Study365 is a leading online provider for several accrediting bodies and provides learners with the opportunity to take this exclusive course awarded by Edureka. At Study365, we give our fullest attention to our learners’ needs and ensure they have the necessary information to proceed with the Course.
Learners who register will be given excellent support, discounts for future purchases and be eligible for a TOTUM Discount card and Student ID card with amazing offers and access to retail stores, the library, cinemas, gym memberships, and their favourite restaurants.
The course will be directly delivered to you, and you have 12 months of access to the online learning platform from the date you joined the course. The course is self-paced and you can complete it in stages, revisiting the lessons at any time.
This course is recommended for flourishing your career as a:
Upon successfully completing the course, you will be awarded the 'Data Warehousing Certification Training' by Edureka.
Edureka is the fastest-growing online learning platform with a trusted name in the industry. The platform has the highest course completion rate and turns beliefs into realities by ridiculously committing to their students. Edureka collaborates with Study365 and many other educational bodies to provide guaranteed learning and success to global students & professionals.
To successfully obtain this Edureka certification, learners will have to submit an assignment that proves their worth and skill related to this particular course.
Completing the Data Warehousing Certification Training will improve your candidature for several data warehousing and business intelligence jobs. You can start your own business as a consultancy and serve others with your expert advice and knowledge.
Given below are job titles you can compete for, along with the average UK salary per annum, according to https://www.glassdoor.com.
|1. Introduction to Data Warehouse|
|What is a Data Warehouse? – Definition and Explanation of the Four Terms – Subject Oriented, Integrated, Non Volatile and Time Variant|
|Need For a Data Warehouse|
|Difference between a Database and a Data Warehouse. OLTP and OLAP?|
|Datamart – The Smaller Cousin of the Data Warehouse|
|ODS – Operational Data Store – Definition and Explanation of 4 Terms – Subject Oriented, Integrated, Current, Volatile, Detailed|
|Benefits of ODS|
|Design Approach – Top down Approach, Bottom up Approach, Federated|
|2. Dimension and Fact|
|Dimensions and Facts – What are Dimensions and Facts?|
|Types of Dimensions – Emphasis on SCD 1, 2, 3 Implementations Types of Dimensions|
|Types of Facts|
|What are Hierarchies – Types of Hierarchies?|
|3. Normalization and Schemas|
|Schemas – What is a Schema. Types – Star, Snowflake, Galaxy|
|Significant Role of Meta Data|
|Principles of Dimensional Modelling|
|Modeling – ER Diagrams|
|5. ETL in Detail|
|ETL Concept – Architectural Components – Like Source, Staging, Atomic, Dimension|
|Transformation – Data Validation, Data Accuracy, Data Type Conversion, Business Rule Application|
|Data Loading Techniques|
|Discuss a Project|
|Its Problem Statement|
|Implement One Solution|